Lead Sensors Engineer
About the role
Lead the sensor system architecture and R&D for the product's non-EEG sensing.
Design, select, and evaluate the sensor suite, with optical sensing as the primary focus: Optical: PPG and SpO₂ (primary focus)
Inertial: accelerometer and gyroscope
Body temperature
Environmental: ambient temperature, humidity, light, and barometric pressure
Own heart-rate and HRV estimation, including the algorithms that stay accurate while the wearer is in motion.
Drive sensor front-end design and component selection, with BOM ownership and second-source strategy, partnering with the EE lead on schematic and layout.
Develop the signal conditioning, calibration, and characterization methods across the sensor suite.
Define the sensor-fusion approach that combines these streams into reliable signals for the AI assistant.
Specify the electrical, mechanical, and firmware interfaces each sensor needs, partnering with product design on skin-contact placement and optical windows, and with firmware on the acquisition runtime and hardware-aligned cross-sensor timestamping.
Partner with the AI/ML lead on anything that becomes a learned model, and with the reliability lead on skin-contact durability, sweat tolerance, and long-wear stability.
Lead technical reviews and design documentation for the sensing system.
Ship the product by end of year, and build and lead the sensing team.
Responsibilities
- Lead the sensor system architecture and R&D for the product's non-EEG sensing.
- Design, select, and evaluate the sensor suite, with optical sensing as the primary focus: Optical: PPG and SpO₂ (primary focus)
- Inertial: accelerometer and gyroscope
- Body temperature
- Environmental: ambient temperature, humidity, light, and barometric pressure
- Own heart-rate and HRV estimation, including the algorithms that stay accurate while the wearer is in motion.
- Drive sensor front-end design and component selection, with BOM ownership and second-source strategy, partnering with the EE lead on schematic and layout.
- Develop the signal conditioning, calibration, and characterization methods across the sensor suite.
- Define the sensor-fusion approach that combines these streams into reliable signals for the AI assistant.
- Specify the electrical, mechanical, and firmware interfaces each sensor needs, partnering with product design on skin-contact placement and optical windows, and with firmware on the acquisition runtime and hardware-aligned cross-sensor timestamping.
- Partner with the AI/ML lead on anything that becomes a learned model, and with the reliability lead on skin-contact durability, sweat tolerance, and long-wear stability.
- Lead technical reviews and design documentation for the sensing system.
- Ship the product by end of year, and build and lead the sensing team.
Requirements
- 10+ years in sensor or hardware development for consumer wearables, with at least one shipped product where you owned a sensing system end-to-end.
- Deep expertise in optical PPG: front-end design and motion-robust heart-rate and HRV algorithms validated in real-world wearable conditions.
- Strong analog front-end design background, including noise, signal integrity, and low-power sensing systems.
- Experience integrating sensors in wearables: selection, calibration, characterization, and data analysis.
- Direct experience owning sensor selection, benchmarking, and BOM, including second-source strategy.
- Hands-on in the lab (oscilloscope, logic analyzer), and comfortable partnering with EE, firmware, and ME, and with overseas CMs.
Qualifications
- Nice-to-haves include:
- Inertial-sensing algorithms: activity, gesture, and context classification, and orientation estimation.
- Additional health sensors: SpO₂, ECG, EDA, or EMG.
- Contact-based body-temperature measurement: thermal modeling, calibration, and ambient compensation.
- Multimodal sensor fusion across optical, inertial, and temperature streams.
- Knowledge of human physiology or biomechanics.
- Biocompatible skin-contact and dry-contact sensor interfaces.
- Always-on, ultra-low-power sensing architectures.
- Founding engineer or lead-level experience at an early-stage consumer hardware company.
Skills
- Must have deep expertise in optical PPG.
- Strong analog front-end design background.
- Experience integrating sensors in wearables.
- Hands-on in the lab.
- Comfortable partnering with EE, firmware, and ME, and with overseas CMs.
Benefits
- Competitive base salary
- Meaningful equity package
- 401(k) with company matching
- Health insurance
- Flexible PTO
Pay
Competitive base salary
Schedule
Full time